If you're planning to use a scope for general electronics
troubleshooting, as opposed to merely capturing predictable waveforms,
you would be doing yourself a huge favor to look at the waveform
capture+render rate.
Many cheaper oscilloscopes (and pretty much all USB-only devices) don't
specif
On 08/25/2016 04:44 AM, Max K wrote:
Also I yet lack an estimate of how much more audio fx instances a true
DSP can handle compared to an ARM, which is a crucial decision factor.
But what precisely is an "audio fx instance"? That could mean pretty
much anything, from very lightweight operatio
On 08/24/2016 03:44 PM, Max K wrote:
The idea is basically a USB+SD Card equipped guitar pedal.
How important do you reckon FFT hardware acceleration and I2S modules
are when choosing the DSP?
Well, those could be really handy if your guitar pedal does some filter
operation which needs
Does anyone have any suggestions or references for an efficient
algorithm to find the peak of a bandwidth limited signal?
If I just look only at the numerical values of the samples (yeah, that's
what I've been doing), when a signal is close to an integer division of
Fs, even collecting data ov
Does anyone have any suggestions or publications or references to best
practices for what to do with the state variables of a biquad filter
when changing the coefficients?
For a bit of background, I implement a Biquad Direct Form 1 filter in
this audio library. It works well.
https://github
While not Raspberry Pi based, there's a couple microcontroller-based
projects you might check out. They do pretty much exactly what you're
asking and already have quite a good amount of synthesis support.
Microcontrollers give you less raw computational power, but you get much
easier support
FWIW, I implemented Stefan's New Shade of Pink in the Teensy Audio
Library. Running on an ARM Cortex-M4 microcontroller at 96 MHz, it
consumes approx 6% CPU to generate 44.1 kHz sample rate pink noise data.
Sound code is here, if anyone's interested.
https://github.com/PaulStoffregen/Audio/bl
On 08/28/2015 08:12 AM, Peter S wrote:
I decided to unsubscribe from this mailing list.
Don't let the door hit you on the way out. ;-)
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On 12/08/2014 01:35 PM, Stefan Sullivan wrote:
Hey music DSP folks,
I'm wondering if anybody knows much about using these open source compilers
to compile to various DSP architectures (e.g. SHARC, ARM, TI, etc).
I have some experience with ARM Cortex-M4, using fixed point. Everything
in this
On 10/15/2014 12:45 PM, Peter S wrote:
I gave you a practical, working *algorithm*, that does *something*.
In the 130 messages you've posted since your angry complaint regarding
banishment from an IRC channel nearly 2 weeks ago, I do not recall
seeing any source code, nor any psuedo-code, equ
On 10/12/2014 10:17 AM, Peter S wrote:
Maybe I'm one of those cryptographers you're afraid of ;)
As long as you produce only chatter on mail lists, but no working
implementation, I really don't think there's much cause for anyone to be
concerned.
Annoyed, perhaps, but certainly not afraid.
On 10/12/2014 04:36 AM, Peter S wrote:
So, for more clarity, my algorithm would segment the following bit pattern
Perhaps for better clarity, you could provide a reference implementation
in C, C++, Python or any other widely used programming language?
00010010110
Pater, since roughly this time 5 days ago, you've posted 61 public
messages here.
Maybe it's time to give it a rest? Or if not, perhaps your point
(whatever that may be) could be made with only 1 or 2 messages per day?
Please?!
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On 09/02/2014 02:14 PM, Alberto di Bene wrote:
I think the original poster had asked for a fixed point
implementation, not a floating point one...
That's me. :-)
I can (usually) figure out how to implement an algorithm described with
real numbers using fixed point. A good algorithm is the r
I'm hoping to find a fast approximation for exp2(), which I can
implement in 32 bit fixed point. So far, the best I've turned up by
searching is this from the archives.
http://www.musicdsp.org/showone.php?id=106
n = input + 1.0;
n = n * n;
n = n * 2.0 / 3.0;
n
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